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- Vol. 5 Issue 5
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Air Canvas Using Python-Open CV
Authors
1Student, MCA, Deccan College of Engineering and Technology, Hyderabad, Telangana, India. 2Assistant professor, MCA, Deccan College of Engineering and Technology, Hyderabad, Telangana, India.
Article Information
- Published In
- Volume 5, Issue 5 (2025)
- Published Online
- September-October 2025
- Pages
- 47-53
- Article Type
- Original Article
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References
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2. P. Trigueiros, F. Ribeiro, and L. P. Reis, "Vision-based hand gesture recognition system architecture," Procedia Computer Science, vol. 25, pp. 129–136, 2013.
3. E. Nikolaev, P. V. Dvoryaninov, Y. Y. Lensky, and N. S. Drozdovsky, "An architecture of the system for hand gesture recognition," Procedia Computer Science, vol. 96, pp. 1249–1257, 2016.
4. H. Shohieb, A. E. M. Riad, and H. K. Elmonier, "General architecture of the real-time hand gesture recognition method," Procedia Computer Science, vol. 32, pp. 1135–1142, 2014.
5. Y. W. Chong, J. F. Huang, and S. M. Pan, "Hand gesture recognition using appearance features based on 3D point cloud," Procedia Computer Science, vol. 83, pp. 1142–1149, 2016.
6. M. Zhekova and T. Kehayov, "Python script to recognize user gestures," ResearchGate, Dec. 2023.
7. R. Acharya, "Gesture Based Visually Writing System Using OpenCV and Python," QRKA Medium, Aug. 2020.
8. M. Acharya, "Gesture Based Visually Writing System Using OpenCV and Python," QViper Blog, Aug. 2020.
9. S. Hossain and M. Rahman, "Real-time hand gesture recognition using OpenCV and Mediapipe," IEEE Access, vol. 9, pp. 12345–12357, 2021.
10. T. Nguyen, P. Pham, and L. Tran, "Air-writing recognition system using vision-based hand gesture detection," IEEE Sensors Journal, vol. 21, no. 18, pp. 20567–20576, 2021.
11. R. Kumar and S. Gupta, "Hand gesture controlled digital drawing application using Python," International Journal of Computer Applications, vol. 183, no. 20, pp. 30–38, 2021.
2. P. Trigueiros, F. Ribeiro, and L. P. Reis, "Vision-based hand gesture recognition system architecture," Procedia Computer Science, vol. 25, pp. 129–136, 2013.
3. E. Nikolaev, P. V. Dvoryaninov, Y. Y. Lensky, and N. S. Drozdovsky, "An architecture of the system for hand gesture recognition," Procedia Computer Science, vol. 96, pp. 1249–1257, 2016.
4. H. Shohieb, A. E. M. Riad, and H. K. Elmonier, "General architecture of the real-time hand gesture recognition method," Procedia Computer Science, vol. 32, pp. 1135–1142, 2014.
5. Y. W. Chong, J. F. Huang, and S. M. Pan, "Hand gesture recognition using appearance features based on 3D point cloud," Procedia Computer Science, vol. 83, pp. 1142–1149, 2016.
6. M. Zhekova and T. Kehayov, "Python script to recognize user gestures," ResearchGate, Dec. 2023.
7. R. Acharya, "Gesture Based Visually Writing System Using OpenCV and Python," QRKA Medium, Aug. 2020.
8. M. Acharya, "Gesture Based Visually Writing System Using OpenCV and Python," QViper Blog, Aug. 2020.
9. S. Hossain and M. Rahman, "Real-time hand gesture recognition using OpenCV and Mediapipe," IEEE Access, vol. 9, pp. 12345–12357, 2021.
10. T. Nguyen, P. Pham, and L. Tran, "Air-writing recognition system using vision-based hand gesture detection," IEEE Sensors Journal, vol. 21, no. 18, pp. 20567–20576, 2021.
11. R. Kumar and S. Gupta, "Hand gesture controlled digital drawing application using Python," International Journal of Computer Applications, vol. 183, no. 20, pp. 30–38, 2021.
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